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Foltête Jean-Christophe Savary Paul Clauzel Céline Bourgeois Marc Girardet Xavier Sahraoui Yohan Vuidel Gilles Garnier Stéphane 《Landscape Ecology》2020,35(5):1053-1053
Landscape Ecology - In the original publication of the article, the sixth author name has been misspelt. The correct name is given in this Correction. The original article has been corrected. 相似文献
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Locating wildlife crossings for multispecies connectivity across linear infrastructures 总被引：1，自引：0，他引：1
Anne?MimetEmail author Céline?Clauzel Jean-Christophe?Foltête 《Landscape Ecology》2016,31(9):1955-1973
Context
Linear transportation infrastructures traverse and separate wildlife populations, potentially leading to their short- and long-term decline at local and regional scales. To attenuate such effects, we need wildlife crossings suitable for a wide range of species.Objectives
We propose a method for identifying the best locations for wildlife crossings along linear infrastructures so as to improve the connectivity of species with varying degrees of mobility and living in different habitats. We evaluate highway impacts on mammal species.Methods
The study area is the Grésivaudan Valley, France. We used allometric relationships to create eight virtual species and model their connectivity networks, developing a nested method defining populations by daily travel distances and connecting them by dispersal. We tested the gain in connectivity for each species produced by 100 and 600 crossing locations respectively in crossable, i.e. with crossing infrastructures, and uncrossable highway scenarios. We identified the crossings that optimize the connectivity of the maximum number of species combining the results in multivariate analyses.Results
Highly mobile species needing a large habitat area were the most sensitive to highways. The importance of locomotive performance in structuring the graphs decreased with highway impermeability. Depending on the species, the best locations improved connectivity by 0–10 and 2–75 % respectively in the crossable and uncrossable scenarios. Compromise locations were found for seven of the eight species in both scenarios.Conclusions
This method could guide planners in identifying crossing locations to increase the connectivity of different species at regional scales over the long term.3.
Foltête Jean-Christophe Savary Paul Clauzel Céline Bourgeois Marc Girardet Xavier Sahraoui Yohan Vuidel Gilles Garnier Stéphane 《Landscape Ecology》2020,35(5):1035-1052
Landscape Ecology - Landscape graphs are widely used to model networks of habitat patches. As they require little input data, they are particularly suitable for supporting conservation decisions... 相似文献
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Context
Land-cover changes (LCCs) could impact wildlife populations through gains or losses of natural habitats and changes in the landscape mosaic. To assess such impacts, we need to focus on landscape connectivity from a diachronic perspective.Objectives
We propose a method for assessing the impact of LCCs on landscape connectivity through a multi-species approach based on graph theory. To do this, we combine two approaches devised to spatialize the variation of multi-species connectivity and to quantify the importance of types of LCCs for single-species connectivity by highlighting the possible contradictory effects.Methods
We begin with a list of landscape species and create virtual species with similar ecological requirements. We model the ecological network of these virtual species at two dates and compute the variation of a local and global connectivity metric to assess the impacts of the LCCs on their dispersal capacities.Results
The spatial variation of multi-species connectivity showed that local impacts range from ?6.4% to +3.2%. The assessment of the impacts of types of LCCs showed a variation in global connectivity ranging from ?45.1% for open-area reptiles to +170.2% for natural open-area birds with low-dispersion capacities.Conclusions
This generic approach can be reproduced in a large variety of spatial contexts by adapting the selection of the initial species. The proposed method could inform and guide conservation actions and landscape management strategies so as to enhance or maintain connectivity for species at a landscape scale.5.
Jean-Christophe Foltête Céline Clauzel Gilles Vuidel Pierline Tournant 《Landscape Ecology》2012,27(4):557-569
Species distribution models (SDMs) are commonly used in ecology to map the probability of species occurrence on the basis
of predictive factors describing the physical environment. We propose an improvement on SDMs by using graph methods to quantify
landscape connectivity. After (1) mapping the habitat suitable for a given species, this approach consists in (2) building
a landscape graph, (3) computing patch-based connectivity metrics, (4) extrapolating the values of those metrics to any point
of space, and (5) integrating those connectivity metrics into a predictive model of presence. For a given species, this method
can be used to interpret the significance of the metrics in the models in terms of population structure. The method is illustrated
here by the construction of an SDM for the European tree frog in the region of Franche-Comté (France). The results show that
the connectivity metrics improve the explanatory power of the SDM and emphasize the important role of the habitat network. 相似文献
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